Develop and execute a strategic sales plan for your assigned territory to achieve pipeline growth and revenue goals.
Engage directly with customers to understand their AI/ML requirements and influence product roadmap.
Become a trusted expert in AI Infrastructure, providing strategic insights to customers and partners.
Mirantis is a Kubernetes-native AI infrastructure company enabling organizations to build and scale AI, machine learning, and data-intensive applications. They are a Silicon Valley leader with a collaborative, open-source driven culture that values innovation and transparency.
Define the strategy, roadmap, and feature priorities for k0rdent AI Kubernetes services, empowering Neocloud operators to launch managed Kubernetes on their own GPU infrastructure.
Translate requirements from NeoClouds, GPU clouds, telcos, and enterprise platform teams into clear product direction and partner with engineering to ship secure, scalable cluster lifecycle capabilities.
Manage the Kubernetes backlog, define positioning and competitive differentiation, and create field-facing assets to support strategic accounts.
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI. They have a world-class, distributed team committed to openness and technical excellence.
Design and build LLM serving infrastructure on Kubernetes, including deployment, GPU scheduling, and model lifecycle management.
Package the platform for enterprise environments with Helm-based installs and support for restricted or offline networks.
Integrate the serving layer with API gateway, identity, and metering services, and build observability for GPU inference in production.
Mirantis is a Kubernetes-native AI infrastructure company that helps organizations build and operate scalable infrastructure for AI and data-intensive applications. It is part of an IREN company and empowers platform engineering teams with open-source innovation and deep expertise in Kubernetes orchestration.
Design and deliver sophisticated ML and data architectures using Linux, Kubernetes, and open-source technologies.
Work closely with sales and technical teams to translate customer requirements into scalable infrastructure solutions.
Influence product direction by sharing customer insights and technical feedback with engineering teams.
The partner company helps organizations adopt modern AI and machine learning technologies across public and private cloud environments. They operate with a global Field Engineering team and a distributed work environment.
Build and operate the Kubernetes platform supporting AI test and evaluation frameworks.
Design infrastructure-as-code, GitOps workflows, and automated deployment pipelines.
Own platform reliability, observability, capacity planning, and operational readiness.
OpenTeams helps enterprises and governments build AI they control, govern, and evolve themselves. Founded by the creator of NumPy and SciPy, the company is built by people with deep roots across the open-source ecosystem and maintains a remote-first culture.
Design and advance core infrastructure for multi-cloud Kubernetes clusters and developer toolchains.
Automate operations and engineering tasks to improve productivity and reliability.
Build machine learning infrastructure to enable AI teams to train and deploy large-scale models.
Cresta provides an AI platform that transforms customer conversations into competitive advantages by combining conversational AI, real-time agent augmentation, and conversation intelligence. The company has raised over $270 million from top investors like a16z, Greylock, and Sequoia, and is led by AI industry veterans.
Translate k0rdent AI capabilities into positioning and messaging for platform engineers and technical buyers.
Author and publish technical blogs, solution briefs, tutorials, and case studies, and manage the editorial calendar.
Partner with engineering and product management to develop content from PRDs and field insights, and create sales enablement assets.
Mirantis is a Kubernetes-native AI infrastructure company that helps organizations build scalable, secure infrastructure for modern AI and data-intensive applications. The company serves major enterprises like Adobe and PayPal, and is committed to open standards and freedom from vendor lock-in.
Reposition the company from private cloud infrastructure to full-stack AI infrastructure in market perception.
Build brand gravity through earned attention, getting Mirantis into analyst conversations and buyer shortlists.
Own the strategic narrative and lead marketing for both enterprise and CSP/Neocloud motions.
Mirantis is a Kubernetes-native AI infrastructure company that enables organizations to build scalable, secure infrastructure for AI and data-intensive applications. With an installed base of 1,500 enterprise customers and a culture of open standards, they prioritize innovation and agility.
Define technical strategy and lead architectural design across cloud, data, and AI/ML systems for end-to-end engagements.
Partner with senior leadership and clients as the principal technical voice on strategy and direction.
Mentor experienced engineers and architects, helping them grow technical judgment and impact.
Robots & Pencils designs AI systems for a human world, engineering paired with creativity. Their teams average fifteen-plus years of experience, with a culture that values directness, craft, and ownership.
Engineer end-to-end automation solutions integrating AI agents, MCP servers, and intelligent tooling.
Design and manage CI/CD pipelines with GitLab CI, Kubernetes, Terraform, and Ansible.
Build and deploy AI/ML models and agentic frameworks for operational environments.
General Dynamics Mission Systems engineers high technology solutions for defense and scientific missions. They have a global team of 12,000+ professionals and value trust, honesty, and transparency.
Design, build, and ship production services, APIs, and user-facing interfaces.
Build and operate production AI systems including RAG, fine-tuning, and inference optimization.
Architect AWS/GCP environments with Kubernetes and Terraform and control cloud/AI costs.
Motive empowers people who run physical operations with tools to make their work safer, more productive, and more profitable. Serving nearly 100,000 customers across industries, the company values a diverse and inclusive workplace.
Own the infrastructure layer for AI workloads including inference serving, Kubernetes, and agent-sandboxing platforms.
Manage the serving tier for open-weight models, Kubernetes operators, and stateful data planes.
Oversee the sandbox runtime, control-plane services, and observability tooling.
AZX accelerates positive impact in critical industries through AI transformation, specializing in physics-informed ML and enterprise AI solutions for climate and sustainability. Founded in 2024, the company is a profitable public benefit corporation with a growing team working with category leaders in real estate, energy, logistics, and utilities.
Design and build production AI agent systems that diagnose, investigate, and remediate infrastructure issues across one of the world’s largest GPU fleets.
Build the distributed services, orchestration framework, knowledge graph, and retrieval systems that power infrastructure agents.
Own services end to end, including architecture, implementation, testing, deployment, observability, and production operations.
Together AI is a research-driven artificial intelligence company that builds open and transparent AI systems. The company has contributed to leading open-source research like FlashAttention and RedPajama, and aims to lower the cost of modern AI through co-designed software, hardware, algorithms, and models.
Collaborate directly with customers as an embedded technical expert, designing and deploying agentic AI solutions.
Quickly understand new industries, data, and systems to identify high-value AI and agentic workflows.
Build proof-of-concepts and production solutions using MCPs, agent frameworks, and tool-using LLMs.
We are a fast-growing company that helps customers turn AI ambitions into real production outcomes. We are fully remote with a 32-hour workweek and a collaborative, trust-based culture.
Lead product engagement with strategic AI infrastructure customers to define requirements and drive execution from discovery to production readiness.
Collaborate cross-functionally with engineering, infrastructure, and operations teams to deliver customer-ready solutions.
Translate complex customer needs into clear product priorities, technical specifications, and scalable AI infrastructure offerings.
Vultr provides high-performance cloud infrastructure solutions, including Cloud Compute, GPU, Bare Metal, and Storage, with 33 global data centers. It is a privately-held company valued at $3.5 billion, trusted by hundreds of thousands of customers across 185 countries, and known for its self-funded growth and inclusive culture.
Deploy and commission GPU cloud infrastructure across regional and core datacenters, covering hardware, networking, storage, and platform software.
Act as a hands-on technical escalation point, troubleshooting complex issues across physical and software layers and driving incidents to resolution.
Establish deployment standards, validation procedures, documentation, and operational practices for a rapidly evolving AI infrastructure environment.
The company builds and operates cutting-edge GPU cloud and AI infrastructure at significant scale. It is a fast-growing international scale-up with a diverse and flexible working environment.
Define DevOps strategy and lead infrastructure architecture across multi-environment, multi-region cloud systems.
Architect and own scalable Kubernetes platforms, infrastructure as code, and DevSecOps implementation.
Drive platform reliability, performance SLAs, cost optimization, and lead complex migrations and AI/ML platform infrastructure.
Robots & Pencils is an applied AI engineering firm that designs and ships AI co-workers for enterprise operations. Founded in 2009, the company has delivery centers across Canada, the US, Eastern Europe, and Latin America, with teams averaging over 15 years of experience.
Lead technical evaluations and proofs of concept for an enterprise AI coding platform in real customer environments.
Engage directly with CTOs, VPs of Engineering, and senior developers on AI agent architecture and integration.
Manage enterprise security and deployment reviews, troubleshoot integration issues, and feed customer insights into product.
The company is an enterprise AI coding platform provider helping engineering organizations accelerate development with AI agents and LLM infrastructure. It operates as a remote-first global team with a fast-paced, innovative culture focused on collaboration and rapid product iteration.
Author white papers, technical blogs, and architecture guides for platform engineers.
Develop and maintain technical demo portfolio including live demos and recorded walkthroughs.
Lead technical competitive analysis and provide technical support to sales and customers.
Mirantis is a Kubernetes-native AI infrastructure company that helps organizations build scalable, secure, and sovereign infrastructure for AI and data-intensive applications. They combine open source innovation with deep Kubernetes expertise, serving leading enterprises like Adobe, PayPal, and Volkswagen.
Lead deep technical discovery across Platform Engineering, DevOps, Security, and AI/ML teams to understand AI governance and software supply chain requirements.
Design and execute structured PoCs/PoVs focused on policy enforcement, image integrity, SBOM visibility, and AI workload governance.
Act as a trusted technical advisor and champion owner, partnering with Account Executives and Product teams to drive business value.
Docker is a developer tooling platform trusted by over 20 million monthly users and 20 billion container image pulls. They are a globally distributed, remote-first team building tools that define how software gets built and delivered.